{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date                      DataCenter\n",
      "2018-08-05T00:00:00.000Z  AMS             19729\n",
      "                          JPA             12864\n",
      "                          LND             27234\n",
      "                          SIG             15512\n",
      "                          TSJ            151717\n",
      "2018-08-06T00:00:00.000Z  AMS             19717\n",
      "                          JPA             16273\n",
      "                          LND            138487\n",
      "                          SIG             45913\n",
      "                          TSJ           1130232\n",
      "2018-08-07T00:00:00.000Z  AMS             19765\n",
      "                          JPA             16899\n",
      "                          LND            152318\n",
      "                          SIG             52533\n",
      "                          TSJ           1274525\n",
      "2018-08-08T00:00:00.000Z  AMS             19713\n",
      "                          JPA             17242\n",
      "                          LND            153043\n",
      "                          SIG             51475\n",
      "                          TSJ           1266507\n",
      "2018-08-09T00:00:00.000Z  AMS             19693\n",
      "                          JPA             18852\n",
      "                          LND            151035\n",
      "                          SIG             50663\n",
      "                          TSJ           1251416\n",
      "2018-08-10T00:00:00.000Z  AMS             19685\n",
      "                          JPA             16957\n",
      "                          LND            135207\n",
      "                          SIG             45670\n",
      "                          TSJ           1042133\n",
      "2018-08-11T00:00:00.000Z  AMS             19573\n",
      "                          JPA             13194\n",
      "                          LND             26110\n",
      "                          SIG             15807\n",
      "                          TSJ            159523\n",
      "2018-08-12T00:00:00.000Z  AMS             20800\n",
      "                          JPA             13328\n",
      "                          LND             36489\n",
      "                          SIG             16710\n",
      "                          TSJ            153524\n",
      "Name: Count, dtype: int64\n"
     ]
    },
    {
     "data": {
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d5e/LXn9/sdfffzrK35e9/v7SVuvRUT5/OwrrcWiy7vvX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\nLor58+eXMqOjrHmEdW+JQ+LlG5MnT44+ffrEWWe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aKhfBOTk5iIiIwP79+x2u5+XlNbpt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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x110d48588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "'''\n",
    "Date, DataCenter, Pool, Count\n",
    "\"2018-08-05T00:00:00.000Z\",TSJ,tsj9,12722\n",
    "'''\n",
    "csvFile = '/Users/yafan/Documents//workspace/backup/tel_conf_count_20180820.csv'\n",
    "\n",
    "df = pd.read_csv(csvFile, skipinitialspace=True)\n",
    "\n",
    "#df['timestamp'] = pd.to_datetime(df[‘Date'])\n",
    "df1 = df.groupby(['Date', 'DataCenter'])['Count'].sum()\n",
    "print(df1)\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "\n",
    "fig = plt.figure()\n",
    "#df2 = df1['timestamp']\n",
    "df1.plot(kind=\"bar\", figsize=(18, 28))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AMS\n"
     ]
    }
   ],
   "source": [
    "filename = 'AMS_ELS_max_capacity.csv'\n",
    "print(filename[:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
